KanseiLink MCP Server

Local-first MCP navigator for AI agents. Find, evaluate, and compose MCP tools -- 80% fewer tokens vs trial-and-error.

Your agent wastes thousands of tokens every time it hits a new MCP service: searching docs, guessing auth flows, recovering from errors. KanseiLink eliminates that loop with a local SQLite DB of pre-evaluated services, trust scores, and step-by-step recipes.

Token savings: 89-97% measured across 7 services (avg ~16,800 tokens without → ~950 with KanseiLink).

Quick Start

npx @kansei-link/mcp-server

Works with Claude Code, Cursor, Cline, Zed, Windsurf -- any MCP client.

Add to your config (claude_desktop_config.json, .cursor/mcp.json, etc.):

{
  "mcpServers": {
    "kansei-link": {
      "command": "npx",
      "args": ["-y", "@kansei-link/mcp-server"]
    }
  }
}

Or with Claude Code CLI:

claude mcp add -s user kansei-link -- npx -y @kansei-link/mcp-server

Related MCP server: databid

What's Inside

All data ships inside the npm package as a local SQLite DB. Zero API calls needed. No server dependency, no signup.

Why Not Just Read the Docs?

Claude Code: install the skill (auto-invocation)

Installing the MCP alone doesn't teach Claude Code when to call KanseiLink. The bundled skill fixes that:

npx -y @kansei-link/mcp-server kansei-link-install-skill

This copies a SKILL.md to ~/.claude/skills/kansei-link/. Claude Code auto-discovers it and fires the skill on phrases like "connect to Stripe", "Slack MCPある？", "send invoice via freee" -- no need to say "use KanseiLink".

Optional: PostToolUse hook

Auto-capture success/failure after every MCP call (agents tend to forget reporting).

Add to ~/.claude/settings.json:

{
  "hooks": {
    "PostToolUse": [{
      "matcher": "mcp__.*",
      "hooks": [{ "type": "command", "command": "npx -y @kansei-link/mcp-server kansei-link-report-hook" }]
    }]
  }
}

Disable anytime: export KANSEI_REPORT_HOOK=off

Tools (5)

v1.0 consolidates the tool surface from 25 individual tools into 5 unified tools with mode auto-detection.

Standard Flow (3 tools -- all you need)

search_services --> lookup --> (execute your API call) --> report

Admin Tools (2 additional)

Lookup Modes

Report Modes

Example Workflows

Find and integrate a service:

search_services({ intent: "send invoice to clients", compact: true })
--> lookup({ service_id: "freee" })        // tips: auth, pitfalls, workarounds
--> lookup({ service_id: "freee", detail: true })  // full connection guide
--> (execute your API call)
--> report({ service_id: "freee", success: true, task_type: "create_invoice" })

Multi-service workflow:

lookup({ goal: "create invoice and notify via slack", services: ["freee", "slack"] })
--> Step-by-step recipe with coverage scoring

Share your honest opinion:

report({
  service_id: "stripe",
  question_id: "biggest_frustration",
  response_text: "Webhook signature verification docs are unclear for non-Node runtimes"
})

Categories (23)

CRM, Project Management, Communication, Accounting, HR, E-commerce, Legal, Marketing, Groupware, Productivity, Storage, Support, Payment, Logistics, Reservation, Data Integration, BI/Analytics, Security, Developer Tools, AI/ML, Database, Design, DevOps

Architecture

Agent <-> KanseiLink MCP Server <-> SQLite (local, zero-config)
              |
              +-- search_services  -> FTS5 + trigram (CJK) + LIKE + category detection
              +-- lookup           -> tips / detail / insights / recipe / combinations /
              |                       history / feedback / voices (auto-detected)
              +-- report           -> outcome / feedback / event / voice (auto-detected)
              +-- inspect          -> queue / submit / propose / review / snapshot / evaluate
              +-- analyze          -> token_savings / cost / aeo_report / aeo_article

For SaaS Companies

KanseiLink can generate intelligence reports showing how AI agents experience your API:

• Success rate, latency, error patterns over time

• Agent Voice: selection criteria, frustrations, recommendations

• Category ranking vs competitors

• Impact of API changes (before/after analysis)

Interested? See kansei-link.com or reach out.

Privacy & Data Handling

KanseiLink is privacy-preserving by default:

• Local-first: the full service DB ships inside the npm package. No API calls needed.

• PII auto-masking: every report call scrubs emails, phone numbers, IP addresses, and Japanese names before storage.

• Agent identity anonymized: only the agent type (claude / gpt / gemini) is retained -- never the user ID.

• No telemetry by default: the local stdio server does not phone home.

See SECURITY.md for full details.

Troubleshooting

1. Verify the skill was installed:

   ls ~/.claude/skills/kansei-link/SKILL.md

   If absent, run npx -y @kansei-link/mcp-server kansei-link-install-skill.

2. Restart Claude Code. Skills are indexed on session start.

3. Check that the MCP is registered under the name kansei-link:

   claude mcp add -s user kansei-link -- npx -y @kansei-link/mcp-server

1. Try category filter: search_services({ intent: "...", category: "accounting" }).

2. Try the English equivalent -- most entries are indexed bilingually, but some only in EN.

3. If the service truly isn't there, submit feedback: report({ subject: "Missing: ServiceX", body: "..." }).

1. Start with lookup({ service_id: "..." }) -- it returns known OAuth pitfalls and refresh-token workarounds.

2. Report the failure: report({ service_id: "...", success: false, error_type: "auth_error", workaround: "..." }) -- your fix helps the next agent.

Contributing

git clone https://github.com/kansei-link/kansei-mcp-server.git
cd kansei-mcp-server
npm install
npm run build
npm start       # start stdio server

PRs welcome. If you find a service that's missing or has wrong info, the fastest path is:

report({ subject: "Fix: ServiceX auth is OAuth2 not API key", body: "..." })

Links

• npm

• Website

• MCP Registry: io.github.kansei-link/kansei-mcp-server

• Glama

License

MIT -- Synapse Arrows PTE. LTD.